Andrew Cuomo

Andrew Cuomo — CS2 Stats

76561198335327204[U:1:375061476]Steam profile ↗✓ No bans

948Tracked matches54%Win rate2020Tracked since
CSDB Rating6.2 SolidOpening Duellist
CSDB Leaderboard#56631 of 260191 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 21,995 +126 4 Apr – 17 Aug · 4 days played
21,67722,591peak 22,5914 Apr17 Aug
22,591Peak Premier in tracked matches
37Days played since 2024-04-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGAndrew CuomoFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim83
Positioning58
Utility19

0–100 skill scores via Leetify.

Recent form

STEADY53–42–5Last 10053%Win rateLLLLWWWWWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +7.1pp headshot accuracy · −59ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 572ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 31%
  • Avg reaction 536ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 565ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Opening Duellist — Winning opening duels is what stands out in this profile (+1.4 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim8.3
Utility1.9
Positioning5.8
Opening Duels5.9

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

s1mple

Plays most like s1mple 77% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 59% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 566ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.3
Positioning5.8
Utility1.9
Mechanics7.4
Opening Duels5.0
Win Impact6.2

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time571ms−24ms
first ⅓ avg 596ms → last ⅓ avg 571ms
Headshot accuracy24.4%+2.2%
first ⅓ avg 22.2% → last ⅓ avg 24.4%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.16Best match rating · 13–0 · anubis, 11 Apr →
100%Best headshot accuracy · 4–0 · nuke, 12 Apr →
406msFastest reaction time · 13–9 · vertigo, 6 Apr →
13–0Biggest win · anubis, 11 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L4Current streak
6–4In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 75% over 20ancientWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB2311–1248%0.01
nukeS2015–575%0.02
vertigoC176–1135%0.01
anubisA159–660%0.01
ancientD93–633%-0.01
infernoA53–260%0.02
dust2A53–260%0.04
train—31–233%0.02
office—32–167%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

294Matches
55%Win rate
1.28Avg K/D
—ADR
42%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
18Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1872%1.3115.3
Mirage1354%1.2115.0
Vertigo1292%1.2216.5
Overpass1080%1.2318.5
Ancient850%1.0715.8
Nuke475%1.1819.0
Dust21100%1.3013.0
Office1100%1.0020.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

23.8%Headshot accuracy
35.8%Accuracy (enemy spotted)
37.4%Spray accuracy
83.2%Counter-strafing
8.8°Preaim
566msReaction time
41.2%T opening success
58.9%CT opening success
0.67Enemies flashed / flash
9.8%Flash assists
8.88HE damage / grenade
5.08Flashes / match

Recommended for you

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage3–13-0.0020%22 Feb →
nuke3–13-0.0321%22 Feb →
inferno5–130.0521%22 Feb →
mirage10–13-0.0122%14 May →
ancient13–8-0.0232%12 Apr →
nuke4–0-0.02100%12 Apr →
dust213–20.0730%12 Apr →
nuke13–20.0724%12 Apr →
train13–20.0223%12 Apr →
vertigo13–90.0016%3 Jan →
inferno13–10.0318%3 Jan →
anubis3–13-0.0227%21 Dec →
ancient6–13-0.0619%21 Dec →
mirage12–120.0123%21 Dec →
inferno10–13-0.0334%21 Dec →
dust213–50.1122%21 Dec →
train9–130.0932%21 Dec →
dust213–50.0529%14 Dec →
nuke4–13-0.0114%14 Dec →
mirage13–70.0519%14 Dec →
train3–13-0.0513%14 Dec →
vertigo12–120.0530%14 Dec →
vertigo8–130.0125%17 Aug →
nuke13–50.0822%17 Aug →
inferno13–110.0218%17 Aug →
vertigo4–13-0.0522%30 May →
anubis13–110.0510%30 May →
mirage13–90.1028%29 May →
vertigo9–130.0728%29 May →
nuke13–80.0130%16 May →
vertigo12–12-0.0120%16 May →
anubis1–7-0.100%15 May →
mirage3–13-0.0516%15 May →
vertigo1–13-0.106%9 May →
mirage13–70.0722%9 May →
mirage3–60.0913%8 May →
nuke12–120.0421%8 May →
mirage13–6-0.0121%7 May →
anubis13–20.1319%7 May →
anubis2–13-0.0814%4 May →
nuke13–11-0.0116%4 May →
anubis0–5-0.0733%1 May →
vertigo7–13-0.0412%1 May →
mirage11–130.0324%30 Apr →
anubis13–110.0124%30 Apr →
ancient9–130.0224%30 Apr →
nuke13–50.0624%29 Apr →
nuke6–30.0629%29 Apr →
ancient8–13-0.0119%29 Apr →
mirage13–40.0425%29 Apr →
nuke13–20.1221%28 Apr →
nuke13–100.0116%27 Apr →
anubis13–70.0112%27 Apr →
vertigo13–60.0817%27 Apr →
mirage13–50.0915%27 Apr →
dust211–13-0.0019%26 Apr →
ancient4–130.0423%26 Apr →
vertigo13–70.0322%25 Apr →
ancient12–12-0.0217%25 Apr →
mirage13–60.0218%25 Apr →
office13–10-0.0123%20 Apr →
anubis3–13-0.0610%18 Apr →
mirage13–60.0428%18 Apr →
vertigo6–130.1029%18 Apr →
nuke13–60.0339%18 Apr →
dust20–6-0.0327%16 Apr →
anubis13–100.0425%16 Apr →
ancient13–80.0222%16 Apr →
vertigo13–8-0.0112%15 Apr →
ancient8–13-0.0223%15 Apr →
office8–90.0530%14 Apr →
vertigo13–80.0629%14 Apr →
nuke7–13-0.0330%14 Apr →
anubis13–40.0315%14 Apr →
mirage9–130.0512%14 Apr →
nuke13–50.0726%13 Apr →
mirage4–13-0.1531%13 Apr →
mirage13–8-0.0429%12 Apr →
mirage5–130.0933%11 Apr →
office13–50.1244%11 Apr →
anubis13–00.1625%11 Apr →
vertigo5–13-0.034%7 Apr →
inferno13–10.0435%6 Apr →
vertigo13–90.0624%6 Apr →
mirage8–13-0.0719%6 Apr →
ancient13–11-0.0020%5 Apr →
nuke13–6-0.0120%5 Apr →
nuke6–13-0.0721%4 Apr →
mirage11–13-0.0116%4 Apr →
nuke13–10-0.0229%4 Apr →
anubis1–11-0.0627%3 Apr →
vertigo0–13-0.070%3 Apr →
mirage13–11-0.0135%3 Apr →
mirage2–9-0.058%2 Apr →
nuke13–4-0.0215%2 Apr →
vertigo10–13-0.0018%2 Apr →
anubis13–30.0622%2 Apr →
nuke13–70.0325%1 Apr →
anubis13–60.0521%1 Apr →
mirage13–60.0616%1 Apr →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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